We employ FEN to predict the coarse intermediate flow and occlusion mask directly. The network is inspired by [1]}, in which a series of intermediate flow estimation blocks (IFBs) are used to predict the coarse intermediate flows directly. The network is learned by a knowledge distillation scheme. In this paper, we employ the pre-trained flow estimation network Liteflow [2]} as the teacher model to produce the pseudo flow labels. The flow distillation loss can be formulated as:
\(\mathcal {L}_{dis}= ||\overline{v}_{t\rightarrow 0}-v_{t\rightarrow 0}^{*}||_1 + ||\overline{v}_{t\rightarrow 1}-v_{t\rightarrow 1}^{*}||_1,\) 
